设施蔬菜病害知识诊断系统的构建  

Construction of Disease Knowledge Diagnosis System of Protected Vegetable

作　　者：孙敏 姚海燕 付兴国 冯万利 任旭琴 高军 

机构地区：[1]淮阴工学院生命科学与食品工程学院,江苏淮安223002 [2]山东省无棣县农业局,山东滨州251900

出　　处：《济南大学学报（自然科学版）》2017年第5期383-393,共11页Journal of University of Jinan(Science and Technology)

基　　金：江苏省前瞻性联合研究项目(BY2016061-27);江苏省淮安市现代农业计划项目(HAN2015001);江苏省淮安市应用研究与科技攻关(农业)计划项目(HAN2014018)

摘　　要：为建立高效求解的植物病害诊断系统,利用经济学的多比例法实现设施蔬菜病害诊断知识数值化,依据蔬菜病害诊断问题特点,改进现有的层次分析法,利用诊断难易程度和影响病害发生的主要环境因子,建立蔬菜病害的分步诊断推理模型;将SQL Server 2005作为后台数据库管理系统,Visual studio.net framework(VS.NET)作为系统集成开发平台,利用C#语言进行编程,建立基于分步诊断模型的设施蔬菜作物病害诊断系统。结果表明,该系统具有病害查询、病害诊断、病害防治与管理方法等查询与咨询功能,对病害诊断的准确性评估结果显示该系统和人类专家诊断正确率差异不显著。To establish the efficient diagnosis system of plant diseases, the numerical knowledge of disease diagnostic of protected vegetable was realized by using the multi-ratio method in economics. The analytic hierarchy process was improved on the basis of characteristics about vegetable diseases diagnosis problems. According to the difficult level of diseases diagnosis and main environmentai factors influencing the occurrence of diseases, the step by step reasoning model of vegetable was established. A step diagnosis model based diagnosis system of vegetable diseases in protected cultivation is developed taking SQL Server 2005 as the backstage database management system, Visual studio, net framework （ VS. NET） as the system integration development platform, and C# language as the programming language. The results show that the system is given the following function, such as inquiring and diagnosis of diseases, inquiring and advisory of dis- ease control and management, and so on. The evaluation to the accuracy of disease diagnosis illustrates that the difference of the diagnostic accuracy is not significant between the system and human experts.

关 键 词：蔬菜病害 知识诊断 推理模型 

分 类 号：S436.3[农业科学—农业昆虫与害虫防治] TP182[农业科学—植物保护]